Does Keploy require code changes?

No, Keploy uses eBPF technology to capture traffic at the network layer, meaning you can record and generate tests without modifying your application's source code.

Which databases can Keploy mock?

Keploy supports mocking for popular databases including MongoDB, PostgreSQL, MySQL, Redis, and Elasticsearch, as well as external API calls.

How does Keploy handle sensitive data?

Keploy allows for the masking of sensitive fields during the recording process and processes data locally in your environment to ensure privacy.

Is Keploy suitable for unit testing?

While its primary strength is integration and API testing, Keploy also offers an AI-powered VS Code extension specifically for generating unit tests.

Can I use Keploy with my existing CI/CD pipeline?

Yes, Keploy is designed to integrate with major CI/CD platforms like GitHub Actions, GitLab, and Jenkins to automate regression testing.

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Test automation

Freemium

Keploy

Keploy is an AI-powered testing tool that automatically generates API test cases and data mocks from real traffic, enabling rapid code coverage and seamless regression testing without manual effort.

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Rating

Reviews

Upvotes

4 months ago

Listed

Test automation

API testing

Regression testing

Open source

eBPF

Mocking

DevOps

CI/CD integration

Backend testing

Tool information

Provider

Keploy Inc.

Platforms

Linux

macOS

Windows

Docker

Kubernetes

Languages

Java

Python

JavaScript

TypeScript

PHP

Kotlin

API Available

Yes

Added to directory

4 months ago

Last updated

about 2 months ago

Rating

Not available

Pricing

Freemium

About Keploy

What the tool does and who it's for

Keploy is an open-source, AI-powered testing platform designed to automate the generation of API test cases and data mocks. By utilizing eBPF (Extended Berkeley Packet Filter) technology, it captures real-time application interactions—including API calls, database queries, and third-party service requests—at the network layer. It then converts these interactions into deterministic, repeatable test cases and stubs without requiring manual code changes or SDK integration. This 'record and replay' mechanism allows developers to achieve up to 90% code coverage in minutes and ensures regression testing remains accurate by automatically mocking dependencies in isolated environments.

Key capabilities

Automatic Test Generation: Captures real API traffic and converts it into repeatable test cases without writing code.

Dependency Mocking: Automatically mocks databases (MongoDB, PostgreSQL, MySQL), gRPC, and external HTTP services.

eBPF-Based Tracing: Operates at the network layer for non-invasive recording, requiring zero application code changes.

CI/CD Integration: Seamlessly integrates with GitHub Actions, Jenkins, and other pipelines to run tests on every commit.

Language Agnostic: Supports any language or framework since it captures data at the system level via socket calls.

Deterministic Replay: Ensures tests are consistent by eliminating environmental noise and flakiness through accurate stubs.

High Coverage Reporting: Provides granular insights into statement and branch coverage to help teams reach 90%+ coverage quickly.

VS Code Extension: Features an AI-powered assistant for generating unit and API tests directly within the IDE.

Pricing

Freemium — plans below

Open Source

Community support
Local recording and replay
Standard dependency mocking
CLI-based testing
Open source contributions

Enterprise

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